Machine Learning Approaches for Microplastic Pollution Analysis in Mytilus galloprovincialis in the Western Black Sea

In this model and datasets, we quantified microplastic contamination in Mytilus galloprovincialis collected from four sites along the Western Black Sea coast—Midia Port, Constanța Port, Mangalia Port, and 2 Mai—each exhibiting varying degrees of anthropogenic impact. Statistical analyses were employed to assess site-specific contamination levels, while machine learning techniques can be used to model microplastic accumulation based on environmental parameters.